Mathematical Modelling Solutions for Stock and Cost Dependent Inventory in a Limited Display Space Warehouse

Study in this paper is concerned with optimization of both quantity of order and selling price together, considering EOQ model for items with depreciating nature. It is based on the few assumptions like rate of demand is dependent on level of stock displayed on shelf as well as per unit selling rate, also, the space for stock display is finite. Two mathematical models are studied to investigate the further revised EOQ modelling for obtaining maximum profits and also develop models for such optimized solutions. Justification and analysis of the work developed and studied is done through sensitivity analysis and numerical examples

Optimization of Quantity Discounts Using JIT Technique under Alternate Cost Policies

In traditional economic order quantity modeling technique, as per the storage in a warehouse, the rate of demand is considered to be fixed, whereas in real world practice rate of demand may be dependent on time, price and stock. This paper studies problems based on allocation of order quantity under quantity discounts by revising mathematical models already studied in this area. For example, in a multi warehouse system like a super departmental store, the rate of demand is mostly subjective on the basis of stock demand. In industry, the maintenance of large stock of goods in warehouses has a higher probability of consumers as compared to an industry with small quantity of stock. Such procedures implied in single warehouses systems may be logical for level of stock that is dependent on demand. Hence, a good and large stock level mostly results in a higher profits and larger sales. The objective is to optimize profit under the effect of price variations in the form of quantity discounts based on an alternative cost functions, with the help of JIT inventory technique and analyzing a mathematical model based on it

Case 10 : Changing the Service Delivery Model: How to Make it Happen?

The case follows Ruksana Kadam, the 2SLGBTQ+ Programs and Community Engagement Manager at the HIV/AIDS Caring Communities (HACC). She has been tasked with developing and implementing a new service delivery model to be adopted at the HACC. The board and executive director are seeking change in order to improve services and care for its diverse clients. The new service delivery model would involve dissolving the current teams, which focused on priority populations such as people who have HIV/AIDS, 2SLGBTQ+ individuals, those who need harm reduction services, and African, Caribbean, and Black communities. The plan would involve creating two new teams – a health promotion team and a community engagement team. Where can Ruksana turn to learn more about organizational change? Have any similar agencies faced such a large change and how did they accomplish it? Are there known pitfalls that she should avoid? The goal of the case note is to allow students to understand the perspectives of stakeholders such as community members, funding organizations, and partnering organizations in a region with a very diverse population. The students will also be given an opportunity during class to formulate the exploratory stage of implementation

IMPACT OF TANNERIES ON GROUND WATER CONTAMINATION IN UNNAO DISTRICT

Attempt is made to understand the impact of tanneries on ground water quality of Unnao. Study was undertaken to evaluate physico-chemical parameters and chromium, lead iron concentration in ground water near tannery industries. The results revealed that only two parameters fluoride and chromium are present in slight high concentration than permissible limit. Ground water quality % sample compliance / violation with respect to BIS standard were also studied

Mapping inequalities in exclusive breastfeeding in low- and middle-income countries, 2000–2018

Exclusive breastfeeding (EBF)—giving infants only breast-milk for the first 6 months of life—is a component of optimal breastfeeding practices effective in preventing child morbidity and mortality. EBF practices are known to vary by population and comparable subnational estimates of prevalence and progress across low- and middle-income countries (LMICs) are required for planning policy and interventions. Here we present a geospatial analysis of EBF prevalence estimates from 2000 to 2018 across 94 LMICs mapped to policy-relevant administrative units (for example, districts), quantify subnational inequalities and their changes over time, and estimate probabilities of meeting the World Health Organization’s Global Nutrition Target (WHO GNT) of ≥70% EBF prevalence by 2030. While six LMICs are projected to meet the WHO GNT of ≥70% EBF prevalence at a national scale, only three are predicted to meet the target in all their district-level units by 2030

Wavelet Based R Peak Detection ECG Signals Using Matlab

Abstract: In present study, an electrocardiogram (ECG) R peak detection system based on Discrete wavelet transform & evaluated. Different ECG signals samples from MIT/BIH Arrhythmia database (ML II lead) was used to verify the algorithm using MATLAB software. First of all algorithm on MIT/BIH database was verified and then same algorithm was applied on Indian patient's ECG records. The classification rate of R peak by this program for MIT/BIH Database was 96.28%

Mental health law in India

In India, the Mental Health Act 2017 was brought forth by replacing the Mental Health Act 1987, to remove the flaws that the previous version had. The new legislation allowed for decriminalisation of suicide in mentally ill patients, apart from clearly defining the term mental illness, and bringing in the Mental Health Authority. Despite the noteworthy provisions introduced in this legislation, it remains a point of criticism, which will be touched upon in this work. In addition to this, a brief overview of the manner in which the Australian jurisdiction deals with mental health, would also be covered

An Era of Green Finance: A Bibliometric Analysis

<p><strong>Abstract: </strong>This study carries out a bibliometric analysis of the literature on environmentally friendly finance with a particular emphasis on publications that were made between the years 1974 and 2023. The examination of patterns and tendencies in previously published works can be done quantitatively using a method known as bibliometric analysis. This study investigates how publications are dispersed across different categories, including country, institution, and author, journal, and research topic. According to our findings, "green finance," which aims to promote environmentally sustainable economic growth, has seen a significant surge in popularity over the past few years. Most frequently referenced papers and journals, as well as most frequently used keywords, leading researchers, conceptual structure, and thematic evolution, are uncovered in this research. Findings on country-wise citations indicate that China is the most prolific country in green finance research, followed by the United Kingdom and Pakistan, respectively. Additionally, the report highlights a growing interest in the role that financial institutions like banks and insurance companies play in supporting green financing. In general, this bibliometric study sheds useful light on the current state of research on environmentally friendly finance. The findings could influence future research orientations and policy decisions to promote sustainable economic growth.</p><p><strong>Keywords: </strong>Green Finance, Green Banking, Sustainability, Author's Contribution, Bibliometric Analysis</p><p><strong>JEL Classification Number:  </strong>G21, F37, Q01, Q50</p&gt

Comparative evaluation of PCR amplification of RLEP, 16S rRNA, rpoT and Sod A gene targets for detection of M. leprae DNA from clinical and environmental samples

Purpose: PCR assay is a highly sensitive, specific and reliable diagnostic tool for the identification of pathogens in many infectious diseases. Genome sequencing Mycobacterium leprae revealed several gene targets that could be used for the detection of DNA from clinical and environmental samples. The PCR sensitivity of particular gene targets for specific clinical and environmental isolates has not yet been established. The present study was conducted to compare the sensitivity of RLEP, rpoT, Sod A and 16S rRNA gene targets in the detection of M. leprae in slit skin smear (SSS), blood, soil samples of leprosy patients and their surroundings. Method: Leprosy patients were classified into Paucibacillary (PB) and Multibacillary (MB) types. Ziehl–Neelsen (ZN) staining method for all the SSS samples and Bacteriological Index (BI) was calculated for all patients. Standard laboratory protocol was used for DNA extraction from SSS, blood and soil samples. PCR technique was performed for the detection of M. leprae DNA from all the above-mentioned samples. Results: RLEP gene target was able to detect the presence of M. leprae in 83% of SSS, 100% of blood samples and in 36% of soil samples and was noted to be the best out of all other gene targets (rpoT, Sod A and 16S rRNA). It was noted that the RLEP gene target was able to detect the highest number (53%) of BI-negative leprosy patients amongst all the gene targets used in this study. Conclusion: Amongst all the gene targets used in this study, PCR positivity using RLEP gene target was the highest in all the clinical and environmental samples. Further, the RLEP gene target was able to detect 53% of blood samples as positive in BI-negative leprosy cases indicating its future standardization and use for diagnostic purposes